University at Buffalo 3 credits Public Health
Artificial intelligence (AI) is increasingly shaping how public health identifies risk, allocates resources, conducts surveillance, and communicates with the public. This course examines AI not simply as a technical tool, but as a governance challenge–one that embeds values, redistributes power, and has real consequences for equity, trust, and population health. Emphasis is placed on AI governance in real-world public health contexts, particularly accountability after deployment. Topics include algorithmic bias, structural racism, civil liberties, public trust, workforce implications, innovation, and global regulatory approaches. Through engagement with scholarship, policy frameworks, and applied case studies, students develop skills to critically assess AI initiatives, define health-centered evaluation criteria, and design governance strategies grounded in equity and public accountability.
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